Data Scientist Sênior (Prevenção a Fraudes)
Core
Senior Data Scientist responsible for end-to-end ML model lifecycle management, MLOps, and real-time fraud prevention systems for financial transactions.
Role type
Senior IC machine-learning engineer (fraud prevention)
Builds
Production ML models for transactional fraud detection and prevention
Domain
Fintech / Financial Services / Fraud Prevention
Deliverable
production ML models
Required skills
Machine Learning (XGBoost, LightGBM, Random Forest), MLOps (MLflow, deployment), Python, SQL, Spark, Statistical Inference, A/B Testing, System Optimization (latency, throughput), Git
Preferred skills
Databricks, AWS, Kafka/Kinesis, Graph Data Science (Neo4j, AWS Neptune), Fintech domain experience
Technologies
Python, SQL, Spark, MLflow, XGBoost, LightGBM, Random Forest, Databricks, AWS, Kafka, Kinesis, Neo4j
Responsibilities
Lead end-to-end data science projects from problem definition to production delivery; Design and maintain scalable ML pipelines (batch and online); Manage full model lifecycle including monitoring for data and concept drift; Develop and optimize inference systems for low-latency real-time scenarios; Structure and improve MLOps practices including versioning and automation; Partner with engineering leaders and PMs to align technical solutions with business goals.
Seniority
Senior, hands-on IC
